Face recognition has been one of the most active research topics in the past two decades. Currently, the state-of-art face recognition system achieves satisfied results under the well-controlled environment. Even though it is easy for human to recognize a person’s face under uncontrolled imaging environment, it is really a grand challenge for automatic face recognition. In the literature of psychophysics and neurophysiology, some studies have shown many phenomena for face representation and recognition. Inspired from these studies, we propose to apply different methods for face recognition which depend on familiarity.

To deal with the problem of single sample per person, we propose an adaptive generic learning method, which adapts a generic discriminant model to better distinguish the person with a single face sample. To utilize rich information from multiple face images, we model the problem as the computation of Manifold-Manifold Distance (MMD). Experiments on several face databases show that the proposed method can achieve better results.

Biography

Dr. Xilin Chen received the BS, MS, and PhD degrees in computer science from Harbin Institute of Technology, China, in 1988, 1991, and 1994, respectively. He was a professor at Harbin Institute of Technology from 1999 to 2005. He was a visiting scholar at Carnegie Mellon University, Pittsburgh, Pennsylvania, from 2001 to 2004. He has been a professor at the Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, since August, 2004. He is now the director of the Key Laboratory of Intelligent Information Processing, CAS. He has published one book and more than 200 papers in refereed journals and conference proceedings in the areas of computer vision, pattern recognition, image processing, and multimodal interfaces. He is an associate editor of the IEEE Transactions on Image Processing, an area editor of the Journal of Computer Science and Technology, and an associate editor of the Chinese Journal of Computer. He was the program chair of ICMI 2010, and he is the tutorial chair of FG 2011. He has served as a program committee member for more than 30 international conferences. He has received several awards, including the China’s State Scientific and Technological Progress Award in 2000, 2003, and 2005 for his research work. He is a senior member of the IEEE and also a member of the IEEE Computer Society.